Evidence map›Paper›PMID 23398680›Full record

ArticleJournal of biomedical semantics2013

The 3rd DBCLS BioHackathon: improving life science data integration with Semantic Web technologies.

Toshiaki Katayama, Mark D Wilkinson, Gos Micklem, Shuichi Kawashima, Atsuko Yamaguchi, Mitsuteru Nakao, Yasunori Yamamoto, Shinobu Okamoto, Kenta Oouchida, Hong-Woo Chun and 56 more

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. NBDC RDF portal: a comprehensive repository for semantic data in life sciences.Database : the journal of biological databases and curation · 2018
    Article
  3. Article
  4. Article
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  7. Review
  8. Article
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  13. Article
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  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

66 authors.

Toshiaki KatayamaDatabase Center for Life Science, Research Organization of Information and Systems, 2-11-16, Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan. ktym@dbcls.jp.
Mark D Wilkinson
Gos Micklem
Shuichi Kawashima
Atsuko Yamaguchi
Mitsuteru Nakao
Yasunori Yamamoto
Shinobu Okamoto
Kenta Oouchida
Hong-Woo Chun
Jan Aerts
Hammad Afzal
Erick Antezana
Kazuharu Arakawa
Bruno Aranda
Francois Belleau
Jerven Bolleman
Raoul Jp Bonnal
Brad Chapman
Peter Ja Cock
Tore Eriksson
Paul Mk Gordon
Naohisa Goto
Kazuhiro Hayashi
Heiko Horn
Ryosuke Ishiwata
Eli Kaminuma
Arek Kasprzyk
Hideya Kawaji
Nobuhiro Kido
Young Joo Kim
Akira R Kinjo
Fumikazu Konishi
Kyung-Hoon Kwon
Alberto Labarga
Anna-Lena Lamprecht
Yu Lin
Pierre Lindenbaum
Luke McCarthy
Hideyuki Morita
Katsuhiko Murakami
Koji Nagao
Kozo Nishida
Kunihiro Nishimura
Tatsuya Nishizawa
Soichi Ogishima
Keiichiro Ono
Kazuki Oshita
Keun-Joon Park
Pjotr Prins
Taro L Saito
Matthias Samwald
Venkata P Satagopam
Yasumasa Shigemoto
Richard Smith
Andrea Splendiani
Hideaki Sugawara
James Taylor
Rutger A Vos
David Withers
Chisato Yamasaki
Christian M Zmasek
Shoko Kawamoto
Kosaku Okubo
Kiyoshi Asai
Toshihisa Takagi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBioHackathon 2010 was the third in a series of meetings hosted by the Database Center for Life Sciences (DBCLS) in Tokyo, Japan. The overall goal of the BioHackathon series is to improve the quality and accessibility of life science research data on the Web by bringing together representatives from public databases, analytical tool providers, and cyber-infrastructure researchers to jointly tackle important challenges in the area of in silico biological research.

resultsThe theme of BioHackathon 2010 was the 'Semantic Web', and all attendees gathered with the shared goal of producing Semantic Web data from their respective resources, and/or consuming or interacting those data using their tools and interfaces. We discussed on topics including guidelines for designing semantic data and interoperability of resources. We consequently developed tools and clients for analysis and visualization.

conclusionWe provide a meeting report from BioHackathon 2010, in which we describe the discussions, decisions, and breakthroughs made as we moved towards compliance with Semantic Web technologies - from source provider, through middleware, to the end-consumer.

Identifiers

PMID23398680
PMCPMC3598643

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.